{"id":"W115301214","doi":"","title":"Volume Measures Using a Digital Image Analysis System are Reliable in Diabetic Foot Ulcers.","year":2012,"lang":"en","type":"article","venue":"PubMed","topic":"Diabetic Foot Ulcer Assessment and Management","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Photogrammetry; Volume (thermodynamics); Digital image analysis; Medicine; Computer science; Reliability engineering; Artificial intelligence; Computer vision; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000685445,0.0001973706,0.000540189,0.000573809,0.00004601635,0.0001278691,0.0001167894,0.00006780059,0.00003206776],"category_scores_gemma":[0.00009357929,0.0001789707,0.000197219,0.001067542,0.00005045115,0.0004296328,0.00009895005,0.0001302378,0.00003801773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004888961,"about_ca_system_score_gemma":0.00002217593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001071631,"about_ca_topic_score_gemma":0.00001739132,"domain_scores_codex":[0.9979989,0.00003608636,0.0003627714,0.0002878261,0.0004773106,0.0008370928],"domain_scores_gemma":[0.9990679,0.00002333372,0.0001338105,0.0004061028,0.00007181225,0.0002970118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003831757,0.0003036755,0.9865808,0.0003096928,0.000843948,0.00002894891,0.0001046573,0.00005085598,0.00002050176,0.00008495182,0.001193636,0.01044004],"study_design_scores_gemma":[0.0009148581,0.00001757574,0.9898314,0.00006407336,0.001730641,0.000003529826,0.0008238135,0.001722007,0.0000895324,0.000008525657,0.00458186,0.000212205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571519,0.0005744968,0.001208992,0.0004166933,0.000383263,0.001442588,0.00001162412,0.0001657474,0.03864463],"genre_scores_gemma":[0.9964675,0.000005259016,0.0003532005,0.00008597117,0.0001590016,0.0005665029,0.00002383825,0.00003138778,0.002307282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0393156,"threshold_uncertainty_score":0.7298214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633724249374646,"score_gpt":0.2425656206400584,"score_spread":0.2162283781463119,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}